Josh Lamstein is a Senior Bioinformatics Engineer in San Francisco with eight years of experience applying deep learning and physics-informed thinking to neuroscience and live-cell imaging. He builds production-grade image analysis pipelines and closed-loop ML microscopes, integrating tools like Nextflow, Postgres, Kafka, Docker, and distributed compute to move research from lab to scalable systems. His background in physics and hands-on optics work informs novel approaches to imaging problems—he's found subtle biological signals with XAI and led development of graph- and Siamese-CNN-based tracking and classification models. Comfortable across research and engineering, he has hired and mentored engineers and interns while consolidating robotic microscope codebases across multiple instruments. Curious about how systems shape outcomes, he blends rigorous experimentation with pragmatic software practices to deliver reproducible, deployable bioinformatics solutions.
8 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.) Physics, Master of Science (M.S.) Physics at San Francisco State University
Bachelor of Arts (B.A.) English Language and Literature/Letters, Bachelor of Arts (B.A.) English Language and Literature/Letters at Oberlin College
Contributions:1 review, 1 PR, 29 pushes in 1 year 4 months
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